DocumentCode :
75111
Title :
Fuzzy adaptive particle swarm optimisation for power loss minimisation in distribution systems using optimal load response
Author :
Hu, Wenfeng ; Chen, Zhe ; Bak-Jensen, Brigitte ; Hu, Ya
Author_Institution :
Dept. of Energy Technol., Aalborg Univ., Aalborg, Denmark
Volume :
8
Issue :
1
fYear :
2014
fDate :
Jan. 2014
Firstpage :
1
Lastpage :
10
Abstract :
Consumers may decide to modify the profile of their demand from high price periods to low price periods in order to reduce their electricity costs. This optimal load response to electricity prices for demand side management generates different load profiles and provides an opportunity to achieve power loss minimisation in distribution systems. In this study, a new method to achieve power loss minimisation in distribution systems by using a price signal to guide the demand side management is proposed. A fuzzy adaptive particle swarm optimisation is used as a tool for the power loss minimisation study. Simulation results show that the proposed approach is an effective measure to achieve power loss minimisation in distribution systems.
Keywords :
cost reduction; demand side management; fuzzy set theory; particle swarm optimisation; power distribution economics; pricing; demand profile; demand side management; distribution systems; electricity cost reduction; electricity prices; fuzzy adaptive particle swarm optimisation; high-price period; load profiles; low-price period; optimal load response; power loss minimisation; price signal;
fLanguage :
English
Journal_Title :
Generation, Transmission & Distribution, IET
Publisher :
iet
ISSN :
1751-8687
Type :
jour
DOI :
10.1049/iet-gtd.2012.0745
Filename :
6722868
Link To Document :
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